Application of Data Mining for Slot Time Prediction at International Airports in Indonesia: J48 Algorithm

Authors

  • Renddy Wandhana Suryaman Bina Nusantara University
  • Gunawan Wang Bina Nusantara University
  • Viany Utami Tjhin Bina Nusantara University

DOI:

https://doi.org/10.34306/att.v4i3.263

Keywords:

Data mining, J48, Decision Tree, Naïve Bayes, Slot time

Abstract

Abstract

In aviation, the safety and smooth flow of flight traffic is a business core, where every flight traffic service is expected to avoid delays caused by aircraft movement either in the air or on land. Therefore, the time slot at the airport is essential for the accuracy of the movement of aircraft, both Departure and Arrival, and this is intended to avoid delays caused by the accumulation of queues of planes that will depart and planes that will land, with a large number of aircraft movements at the International Airport. Soekarno Hatta requires analysis with data mining techniques such as the J48 algorithm and Decision Tree, and Naïve Bayes.

 

 

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Published

2022-09-30

How to Cite

Renddy Wandhana Suryaman, Gunawan Wang, & Viany Utami Tjhin. (2022). Application of Data Mining for Slot Time Prediction at International Airports in Indonesia: J48 Algorithm . Aptisi Transactions on Technopreneurship (ATT), 4(3), 215–225. https://doi.org/10.34306/att.v4i3.263

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Section

Articles